At a Glance
- Tasks: Lead data integration projects using Tibco and Python, optimising data pipelines.
- Company: CGI is a top IT consulting firm, recognised for its inclusive culture and employee satisfaction.
- Benefits: Enjoy competitive salary, private healthcare, pension scheme, and remote work options.
- Why this job: Join a diverse team, make impactful contributions, and grow your career in a supportive environment.
- Qualifications: Experience with Tibco tools, Python, ETL development, and cloud services like Azure and GCP required.
- Other info: Be part of a community that values ownership, teamwork, and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
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Position Description
Our Senior Data Engineers are trusted to work closely with a wide range of clients on exciting projects with real-world purpose and impact.
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named one of the ‘World’s Best Employers’ by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee.
We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.
Your future duties and responsibilities
- Lead the installation, configuration, and migration of Tibco components in complex, enterprise-grade environments.
- Design and build scalable ETL and data integration solutions using Tibco and Python.
- Collaborate closely with data architects, DevOps teams, and stakeholders to align technical solutions with business goals.
- Implement robust data pipelines across cloud and hybrid environments, using Azure Data Factory, Azure Databricks, and GCP services (where applicable).
- Optimise Spark-based transformations and legacy data migrations to support real-time and batch data needs.
- Define and automate data quality frameworks, error handling, and validation workflows.
- Champion best practices in infrastructure-as-code, data observability, and performance tuning.
- Contribute to a culture of technical excellence and continuous improvement within CGI’s Advanced Analytics and Data Engineering practices.
Required Qualifications To Be Successful In This Role
- Essential: Proven hands-on experience with Tibco tools and platforms, including installation, configuration, and data migration across enterprise systems.
- Strong Python development skills, particularly in data engineering and scripting contexts.
- Extensive experience in ETL development, pipeline automation, and processing large-scale datasets.
- Proficiency with Azure Data Factory (ADF), Azure Databricks, and/or Google Cloud services like BigQuery, Cloud Dataflow, and DataProc.
- Proven track record in managing structured and semi-structured data (JSON, Parquet, Avro, CSV).
- Solid knowledge of Spark-based transformations using Python, SQL, or Scala.
- Familiarity with data quality frameworks, data validation techniques, and maintaining data integrity.
- Experience integrating Tibco solutions into broader data architecture and CI/CD ecosystems.
- Nice to have: Experience with Terraform, cloud-based DevOps pipelines, and infrastructure automation.
Preferred Attributes
- Passion for innovation, problem solving, and driving data-driven decision-making.
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
IT Services and IT Consulting
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Senior Data Engineer (Tibco & Python) employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Tibco & Python)
✨Tip Number 1
Familiarise yourself with the specific Tibco tools and platforms mentioned in the job description. Having hands-on experience or even a solid understanding of these tools will help you stand out during discussions.
✨Tip Number 2
Network with current or former employees at CGI, especially those in data engineering roles. They can provide valuable insights into the company culture and expectations, which can be beneficial during your interview.
✨Tip Number 3
Prepare to discuss your experience with cloud services like Azure and GCP. Be ready to share specific examples of how you've implemented data pipelines or ETL processes in these environments.
✨Tip Number 4
Showcase your passion for innovation and problem-solving by discussing any relevant projects or challenges you've tackled in the past. This will demonstrate your alignment with CGI's values and mission.
We think you need these skills to ace Senior Data Engineer (Tibco & Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Tibco tools and Python development. Use specific examples of projects where you've implemented ETL solutions or managed large-scale datasets to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and innovation. Mention how your skills align with CGI's values and the specific requirements of the Senior Data Engineer role, such as your experience with Azure Data Factory and Spark-based transformations.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your role, the technologies used, and the impact of your work on the project's success.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at CGI
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Tibco tools and Python during the interview. Be prepared to discuss specific projects where you've implemented ETL processes or data integration solutions, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Company Culture
CGI values inclusivity and teamwork, so it's important to convey your alignment with these principles. Research their community initiatives and be ready to discuss how you can contribute to a diverse and collaborative environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly related to data quality frameworks or cloud environments, and how you overcame them.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's future and your potential role within it. Inquire about their current projects involving Azure Data Factory or how they approach performance tuning in data pipelines.